Multivariable Calculus, Partial Derivatives and Vectors

In summary: How is taking the derivative of a vector that describes a curve in space related to taking the derivative (or partial derivatives) of an equation that describes the same curve?Taking the derivative of a vector that describes a curve in space is related to taking the derivative (or partial derivatives) of an equation that describes the same curve in that both involve finding the instantaneous rate of change of the curve at a specific point. However, taking the derivative of a vector involves finding the rate of change of each component of the vector, while taking the derivative of an equation involves finding the rate of change with respect to a specific variable. Essentially, both methods are used to understand and analyze the behavior of a curve. In summary, the conversation
  • #1
V0ODO0CH1LD
278
0
I just got to a point in multivariable calculus where I realize I can solve problems in assignments and tests but have no actual idea of what I'm doing. So I started thinking about stuff and came up with a few questions:

1. Is picturing the derivative as the slope of the tangent line to a point of the graph just a useful analogy? Like imagining the integral is the area under the curve?

2. What is the meaning of taking the derivative of a vector? I get that you can take the derivative of each component separately with respect to a parameter that they all depend on. But what does that mean?

3. How is taking the derivative of a vector that describes a curve in space related to taking the derivative (or partial derivatives) of an equation that describes the same curve?
 
Mathematics news on Phys.org
  • #2
V0ODO0CH1LD said:
1. Is picturing the derivative as the slope of the tangent line to a point of the graph just a useful analogy? Like imagining the integral is the area under the curve?

It's not just a useful analogy, it's exactly what the derivative is and what it was invented for. Likewise, the integral was precisely invented to find the area under a curve. So these things are more than just analogies

2. What is the meaning of taking the derivative of a vector? I get that you can take the derivative of each component separately with respect to a parameter that they all depend on. But what does that mean?

They don't take the derivative of a vector, they take the derivative of a vectorial function. There's a difference. But anyway, take the function

[tex]F(t)=(\cos(t),\sin(t))[/tex]

This describes a circle. But

[tex]G(t)=(\cos(2t),\sin(2t))[/tex]

also describes a circle. What's the difference between those two circles?? Well, the difference is that G goes twice as fast. For example, if we start at t=0, then both F and G are at (1,0). But at [itex]t=\frac{\pi}{2}[/itex], the curve F is at (0,1) and traveled the quarter of the circle. However, G is already at (-1,0) and traveled half of the circle. So G is much faster than F. So the velocity of G is greater.
This velocity is measured by the derivative. In particular, given [itex]F=(x(t),y(t))[/itex], the derivative is [itex]F^\prime(t)=(x^\prime(t),y^\prime(t))[/itex]. So at any point t, we got a vector [itex](x^\prime(t),y^\prime(t))[/itex]. The direction of this vector tells us which way the curve is headed. The length of the vector is the speed of the curve.

For example, with our circle. The derivative of F is

[tex]F^\prime(t)=(-\sin(t),\cos(t))[/tex]

At t=0, we get (0,1). So we can see that at t=0, the vector is going in the vertical direction with speed 1.

But the derivative of G is

[tex]G^\prime(t)=(-2\sin(2t),2\cos(2t))[/tex]

and at t=0, we get (0,2). So at t=0, the vector is again going in the vertical direction, but with speed 2. So it is indeed going twice as fast, as expected.

A more geometrical interpretation of [itex]F^\prime(t)=(x^\prime(t),y^\prime(t))[/itex] is that [itex]F^\prime(t)[/itex] is the direction of the tangent line of F at t. For example, the derivative of F (the circle) at t=0 is (0,1). So the tangent line of F at t=0 is parallel to the
y-axis.
 

Related to Multivariable Calculus, Partial Derivatives and Vectors

What is multivariable calculus?

Multivariable calculus is a branch of mathematics that deals with the study of functions of two or more variables. It extends the concepts and techniques of single-variable calculus to functions with multiple independent variables.

What is a partial derivative?

A partial derivative is a mathematical concept that describes the rate of change of a function with respect to one of its independent variables while holding all other variables constant. It is denoted by ∂f/∂x, where f is the function and x is the variable of interest.

How are partial derivatives used in multivariable calculus?

Partial derivatives are used in multivariable calculus to find the rate of change of a function in multiple dimensions. They are also used to determine critical points, calculate tangent planes, and solve optimization problems.

What are vectors in multivariable calculus?

In multivariable calculus, vectors are quantities that have both magnitude and direction and are represented by an ordered set of numbers. They are used to describe and analyze physical quantities such as force, velocity, and acceleration in multiple dimensions.

How are vectors used in partial derivatives?

Vectors are used in partial derivatives to represent the direction of steepest ascent or descent for a function of multiple variables. This is useful in optimization problems where we want to find the maximum or minimum value of a function.

Similar threads

  • Science and Math Textbooks
Replies
10
Views
2K
  • General Math
Replies
11
Views
2K
Replies
1
Views
373
Replies
6
Views
2K
Replies
9
Views
805
  • General Math
Replies
6
Views
1K
Replies
6
Views
2K
  • Calculus and Beyond Homework Help
Replies
8
Views
570
Replies
4
Views
2K
Replies
2
Views
1K
Back
Top